Adapting Virtual Reality Training Applications

by Fabio Genz and Dieter Kranzlmüller

Arsine Chinaryan, Anh Hoang Minh Dang, Iris Dizdari, Margarita Khachatryan

Supervisor: Daniel Schlichting

2024-02-13

Outline

1. Overview

  • Overview about the VR-Project
  • Overview about data analysis

2. Data analyse

  • Sub-category 1
  • Sub-category 2

3. Summary

1. Overview about the VR-Project

General Information

  • Title: Adapting Virtual Reality Training Applications by Dynamically Adjusting Visual Aspects
  • Author: Fabio Genz, Dieter Kranzlmüller

Motivation

  • Static training programs may not suit all users
    • Too easy => boredom
    • Too difficult => anxiety
  • Adaptive VR training systems can balance difficulty to maintain engagement and improve learning outcomes.

1. Overview about the VR-Project

Training scenario:

Users move, pick, and placing parcels using VR controllers in a VR warehouse with dynamic lighting and colour guidance.

Adaptive System Features

  • Use user behavior (head position, orientation) and performance (time, errors) for adjustments.
  • Adjustments: lighting intensity, object colour,…
  • Adjusts after each training round based on behaviour and performance changes.

Analyse 1

A correlate with B: (insert plot or code, eg: plot(iris))